{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_mcoulmeau-gpt-agent","slug":"mcoulmeau-gpt-agent","name":"gpt_agent","type":"mcp","url":"https://smithery.ai/servers/mcoulmeau/gpt_agent","page_url":"https://unfragile.ai/mcoulmeau-gpt-agent","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:mcoulmeau/gpt_agent"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_mcoulmeau-gpt-agent__cap_0","uri":"capability://tool.use.integration.schema.based.function.calling.with.multi.provider.support","name":"schema-based function calling with multi-provider support","description":"This capability allows users to define and invoke functions using a schema-based approach, which facilitates integration with various API providers. It utilizes a registry system to manage function definitions and dynamically binds to OpenAI, Anthropic, and other APIs, enabling seamless orchestration of calls across different services. This design choice enhances flexibility and reduces the complexity of managing multiple API integrations.","intents":["How can I call different APIs using a unified schema?","I need to integrate multiple AI models into my application.","What’s the best way to manage function calls across different providers?"],"best_for":["developers building applications that require multi-provider API integration"],"limitations":["Requires explicit schema definitions for each function, which can increase setup time."],"requires":["Node.js 18+","API keys for integrated services"],"input_types":["text","structured data"],"output_types":["structured data","text"],"categories":["tool-use-integration","api orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_mcoulmeau-gpt-agent__cap_1","uri":"capability://memory.knowledge.contextual.memory.management.for.agent.interactions","name":"contextual memory management for agent interactions","description":"This capability enables the agent to maintain context across multiple interactions by storing and retrieving relevant information dynamically. It employs a vector storage mechanism to manage context efficiently, allowing for retrieval of past interactions and user preferences, which enhances the personalization of responses. This architecture ensures that the agent can provide coherent and contextually relevant outputs over time.","intents":["How can I ensure my agent remembers user preferences?","I want my AI to provide contextually aware responses over multiple sessions.","What’s the best way to manage conversation history in my application?"],"best_for":["developers creating conversational agents that require memory capabilities"],"limitations":["Memory management can introduce latency in response times due to context retrieval."],"requires":["Python 3.9+","vector storage setup"],"input_types":["text"],"output_types":["text"],"categories":["memory-knowledge","context management"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_mcoulmeau-gpt-agent__cap_2","uri":"capability://text.generation.language.dynamic.response.generation.with.multi.modal.support","name":"dynamic response generation with multi-modal support","description":"This capability facilitates the generation of responses that can incorporate various data types, such as text, images, and structured data. It leverages a multi-modal processing pipeline that can interpret and generate outputs based on different input formats, allowing for richer interactions. This design enables the agent to respond appropriately based on the context and type of input it receives.","intents":["How can I generate responses that include both text and images?","I need my AI to handle different types of input and provide varied outputs.","What’s the best way to create a multi-modal interaction experience?"],"best_for":["developers building applications that require multi-modal interactions"],"limitations":["Complexity in managing different input types can lead to longer development times."],"requires":["Node.js 18+","image processing libraries"],"input_types":["text","image","structured data"],"output_types":["text","image","structured data"],"categories":["text-generation-language","image-visual"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":23,"verified":false,"data_access_risk":"moderate","permissions":["Node.js 18+","API keys for integrated services","Python 3.9+","vector storage setup","image processing libraries"],"failure_modes":["Requires explicit schema definitions for each function, which can increase setup time.","Memory management can introduce latency in response times due to context retrieval.","Complexity in managing different input types can lead to longer development times.","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.16,"ecosystem":0.38999999999999996,"match_graph":0.25,"freshness":0.5,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:27.441Z","last_scraped_at":"2026-05-03T15:19:05.144Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=mcoulmeau-gpt-agent","compare_url":"https://unfragile.ai/compare?artifact=mcoulmeau-gpt-agent"}},"signature":"YjagZOvJuNYAMW3wTtgD8MJRmfkR1WV/h36vSXi6C0UK4xhHVsCUpscmyHfsE5cW/+d/mRWDMAC7p/A6ktzFDw==","signedAt":"2026-06-22T07:03:01.077Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mcoulmeau-gpt-agent","artifact":"https://unfragile.ai/mcoulmeau-gpt-agent","verify":"https://unfragile.ai/api/v1/verify?slug=mcoulmeau-gpt-agent","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}